This data stored across multiple cloud environments, on-premises systems and SaaS applications has overwhelmed traditional classification methods.

There are various methods and approaches to data classification, including machine learning, linguistic modeling, sentiment analysis, name normalization, and personal data detection.

To be compliant, to ensure data is optimally protected, that it is available, that it can be analysed and that it is stored most cost-effectively – these are reasons why data classification is ...

Data classification is also a critical part of data security. Statistics show that nearly 62% of U.S. firms suffered a data breach last year and over 80% contained a human element, including incidents ...

A data map helps you figure out the answers by supporting data discovery and data classification. In turn, data discovery and classification enable you to fulfill a spectrum of compliance needs.

A new review published in Artificial Intelligence and Autonomous Systems（AIAS） highlights how artificial intelligence can ...

Any one of our exceptional sales team members is more than happy to help answer any questions you may have about your data classification and help determine which machine will best meet your company ...